[go: up one dir, main page]

Karim et al., 2017 - Google Patents

Robust routing based on urban traffic congestion patterns

Karim et al., 2017

View PDF
Document ID
2115737428884153198
Author
Karim L
Daissaoui A
Boulmakoul A
Publication year
Publication venue
Procedia Computer Science

External Links

Snippet

In your daily journeys, you are driving from a departure location to another destination location situated in the road network. There are a number of alternative routes that you could use. For each section of the network, we know the travel time required under normal traffic …
Continue reading at www.sciencedirect.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computer systems based on specific mathematical models
    • G06N7/005—Probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • G06Q10/047—Optimisation of routes, e.g. "travelling salesman problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis

Similar Documents

Publication Publication Date Title
Abdulhai et al. Reinforcement learning for true adaptive traffic signal control
Zhao et al. Dynamic path planning of emergency vehicles based on travel time prediction
Mostafizi et al. A decentralized and coordinated routing algorithm for connected and autonomous vehicles
Karim et al. Robust routing based on urban traffic congestion patterns
Unnikrishnan et al. User equilibrium with recourse: continuous network design problem
Hosseinzadeh et al. MPC-based emergency vehicle-centered multi-intersection traffic control
Isa et al. Implementation of dynamic traffic routing for traffic congestion: A review
Jiang et al. Dynamic continuum model with elastic demand for a polycentric urban city
Boubedra et al. Urban traffic flow management on large scale using an improved ACO for a road transportation system
Withanawasam et al. Multi-agent based road traffic control optimization
Crişan et al. Computational intelligence for solving difficult transportation problems
Du et al. Online stochastic routing incorporating real-time traffic information
Gravelle et al. Distributed dynamic lane reversal and rerouting for traffic delay reduction
Mejdoubi et al. Road traffic optimisation based on a learning approach
Ghatee et al. Descent direction algorithm with multicommodity flow problem for signal optimization and traffic assignment jointly
Zhang et al. A Cooperative Q‐Learning Path Planning Algorithm for Origin‐Destination Pairs in Urban Road Networks
JP2023090694A (en) Traffic control system
Fonzone et al. Bounded rationality in hyperpath assignment: the locally rational traveller model
Khan et al. A note on routing methods to determine the shortest path in transport networks
Timotheou et al. Online distributed network traffic signal control using the cell transmission model
Dalfard A new intelligence algorithm for determination of shortest path for dynamic guidance of vehicles based on service level criterion
Mejdoubi et al. A learning approach for road traffic optimization in urban environments
Kumawat et al. Ant Lion optimized Lexicographic model for shortest path identification
Jia et al. Dblnet: Navigation algorithm based on dynamic bayesian lstm
Giglio et al. A control system for the individual route guidance in traffic flow networks